ABSTRACT

Statistical methods have proven enormously valuable in helping scientists interpret the results of their experiments-and in helping them design experiments that will produce interpretable results. In a quite general sense, the purpose of statistical analysis is to organize a data set in ways that reveal its structure. Sometimes this is so easy that one does not think that one is doing “statistics;” sometimes it is so difficult that one seeks the assistance of a professional statistician.